Data Sources

Teaching Truth, Resisting Erasure: Disability Politics in a Changing America

February 25, 2025
Jane (Mango) Angar
by Jane (Mango) Angar. Disability is a social construct shaped by systemic exclusion rather than an inherent impairment. Society predominantly views disability through medical and economic lenses, leading to discrimination and marginalization. Disability rights have been hard-won through activism, yet disabled individuals still face poverty, social isolation, and violence. Recent policy rollbacks threaten disability protections, requiring vigilance from educators and advocates. Historical patterns show that marginalized groups are often the first targets of oppressive regimes. Teaching history with truth and resilience is an act of resistance. Activism, awareness, and collective action remain crucial in defending disability rights and promoting social justice.

Jailynne Estevez

Consultant
Info & Data Science MIDS

Jailynne Estevez is a Data Analyst and a prospective Masters in Information and Data Science candidate at UC Berkeley. With a bachelor's in Public Policy, she brings a diverse skill set to her pursuits, demonstrating aptitude in data analysis and programming.

Why Data Disaggregation Matters: Exploring the Diversity of Asian American Economic Outcomes Using Public Use Microdata Sample (PUMS) Data

February 11, 2025
Taesoo Song
by Taesoo Song. Asian Americans are often overlooked in discussions of racial inequality due to their high average socioeconomic attainment. Many academic and policy researchers treat Asians as a single racial category in their analysis. However, this broad categorization can mask significant within-group disparities, leaving many disadvantaged individuals without access to vital resources and policy support. Song emphasizes the importance of data disaggregation in revealing Asian American inequalities, particularly in areas like income and homeownership, and demonstrates how breaking down these categories can lead to more targeted and effective policy solutions.

Field Experiments in Corporations

January 28, 2025
Yue Lin
by Yue Lin. How do social science researchers conduct field experiments with private actors? Yue Lin provides a brief overview of the recent developments in political economy and management strategy, with a focus on filing field experiments within private corporations. Unlike conventional targets like individuals and government agencies, private companies are an emergent sweet spot for scholars to test for important theories, such as sustainability, censorship, and market behavior. After comparing the strengths and weaknesses of this powerful yet nascent method, Lin brainstorms some practical solutions to improve the success rate of field experimental studies. She aims to introduce a new methodological tool in a nascent research field and shed some light on improving experimental quality while adhering to ethical standards.

Python Web Scraping

March 5, 2025, 10:00am
In this workshop, we cover how to scrape data from the web using Python. Web scraping involves downloading a webpage's source code and sifting through the material to extract desired data.

Python Web APIs

March 3, 2025, 10:00am
In this workshop, we cover how to extract data from the web with APIs using Python. APIs are often official services offered by companies and other entities, which allow you to directly query their servers in order to retrieve their data. Platforms like The New York Times, Twitter and Reddit offer APIs to retrieve data.

R Census Data Fundamentals

March 10, 2025, 2:00pm
In this workshop, we provide an overview of conducting U.S. Census data analysis and visualization in R. First, we’ll cover the basic concepts of U.S. Census Data. Then, we’ll demonstrate how to call the census data API directly from R by using the R tidycensus package.

Excel Data Analysis: Charts, Pivot Tables, and VLOOKUP

March 7, 2025, 1:00pm
This three-hour workshop will cover charts in more detail, review pivot tables, and the widely-used VLOOKUP function. We recommend first taking the introductory workshop Excel Data Analysis: Introduction.

Excel Data Analysis: Introduction

March 3, 2025, 1:00pm
This is a three-hour introductory workshop that will provide an overview of Excel, with no prior experience assumed. Attendees will learn how to use functions for handling data and making calculations, how to build charts and pivot tables, and more.

Excel Data Analysis: Charts, Pivot Tables, and VLOOKUP

February 10, 2025, 2:00pm
This three-hour workshop will cover charts in more detail, review pivot tables, and the widely-used VLOOKUP function. We recommend first taking the introductory workshop Excel Data Analysis: Introduction.